PyPSA: Python for Power System Analysis-Reference-Cited by-同舟云学术

PyPSA: Python for Power System Analysis

Published:2018 Issue: Volume:6 Page:
ISSN:2049-9647
Container-title:Journal of Open Research Software
language:en
Short-container-title:

Author:

Brown Tom^ORCID,Hörsch Jonas^ORCID,Schlachtberger David^ORCID

Publisher

Ubiquity Press, Ltd.

Subject

Library and Information Sciences,Information Systems,Software

Reference67 articles.

1. DIgSILENT GmbH 2017 “PowerFactory.” http://digsilent.de/.

2. NEPLAN AG 2017 “PowerFactory.” http://www.neplan.ch/.

3. PowerWorld Corporation 2017 “PowerWorld.” https://www.powerworld.com/.

4. Siemens AG 2017 “PSS/E.” http://w3.siemens.com/smartgrid/global/en/products-systems-solutions/software-solutions/planning-data-management-software/planning-simulation/Pages/PSS-E.aspx.

5. Siemens AG 2017 “PSS/SINCAL.” http://w3.siemens.com/smartgrid/global/en/products-systems-solutions/software-solutions/planning-data-management-software/planning-simulation/pss-sincal/pages/pss-sincal.aspx.

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